| Titre : | Identification of die thermal dynamics using neural networks (2012) |
| Auteurs : | Jaho Seo, Auteur ; Khajepour, Amir, Auteur ; Huissoon, Jan Paul, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Transactions of the ASME . Journal of dynamic systems, measurement, and control (Vol. 133 N° 6, Novembre 2011) |
| Article en page(s) : | 09 p. |
| Note générale : | Dynamic systems |
| Langues : | Anglais |
| Index. décimale : | 553 (Géologie économique. Minérographie. Minéraux. Formation et gisements de minerais) |
| Tags : | Cooling Die casting Finite element analysis Mechanical engineering computing Neural nets Temperature distribution |
| Résumé : | The objective of this research is to identify a dynamic model that describes the temperature distribution in a die with uncertain dynamics using a neural network (NN) approach. By using data sets obtained from a finite element analysis (FEA) of the thermal dynamics of a die and applying NN off-line and on-line learning algorithms, the die model is identified. This identification approach has been conducted assuming fully measurable and partially measurable states. For the latter, a NN based adaptive observer is employed to estimate unmeasurable states. It is shown that the complex behavior of the die system with cooling channels can be accurately identified in both cases of fully and partially measurable states. |
| DEWEY : | 553 |
| ISSN : | 0022-0434 |
| En ligne : | http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JDSMAA000133000006061008000001&idtype=cvips&gifs=Yes&ref=no |
